Role and Responsibilities
- Work with stakeholders throughout the organization to identify opportunities for leveraging company
data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting
and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications and Education Requirements
- Strong problem solving skills with an emphasis on product development.
- Knowledge using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw
insights from large data sets. IBM SPSS Modeler would be an added advantage.
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- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
Preferred Skills
- Were looking for someone with knowledge of manipulating data sets and building statistical models,
proficient in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with
the following software/tools:
- Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
- Knowledge and